{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "45857cb2",
   "metadata": {
    "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19",
    "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5",
    "execution": {
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     "iopub.status.busy": "2024-02-18T14:43:46.735183Z",
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "!git clone https://github.com/RVC-Boss/GPT-SoVITS.git\n",
    "%cd GPT-SoVITS\n",
    "!apt-get update && apt-get install -y --no-install-recommends tzdata ffmpeg libsox-dev parallel aria2 git git-lfs && git lfs install\n",
    "!pip install -r requirements.txt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b9d346b4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-18T14:48:10.815802Z",
     "iopub.status.busy": "2024-02-18T14:48:10.814899Z",
     "iopub.status.idle": "2024-02-18T14:50:31.253276Z",
     "shell.execute_reply": "2024-02-18T14:50:31.252024Z"
    },
    "papermill": {
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     "end_time": "2024-02-18T14:50:31.255720",
     "exception": false,
     "start_time": "2024-02-18T14:48:10.770827",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# @title Download pretrained models 下载预训练模型\n",
    "!mkdir -p /kaggle/working/GPT-SoVITS/GPT_SoVITS/pretrained_models\n",
    "!mkdir -p /kaggle/working/GPT-SoVITS/tools/damo_asr/models\n",
    "!mkdir -p /kaggle/working/GPT-SoVITS/tools/uvr5\n",
    "%cd /kaggle/working/GPT-SoVITS/GPT_SoVITS/pretrained_models\n",
    "!git clone https://huggingface.co/lj1995/GPT-SoVITS\n",
    "%cd /kaggle/working/GPT-SoVITS/tools/damo_asr/models\n",
    "!git clone https://www.modelscope.cn/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch.git\n",
    "!git clone https://www.modelscope.cn/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch.git\n",
    "!git clone https://www.modelscope.cn/damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch.git\n",
    "# # @title UVR5 pretrains 安装uvr5模型\n",
    "%cd /kaggle/working/GPT-SoVITS/tools/uvr5\n",
    "!git clone https://huggingface.co/Delik/uvr5_weights\n",
    "!git config core.sparseCheckout true\n",
    "!mv /kaggle/working/GPT-SoVITS/GPT_SoVITS/pretrained_models/GPT-SoVITS/* /kaggle/working/GPT-SoVITS/GPT_SoVITS/pretrained_models/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ea94d245",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-18T14:29:01.071549Z",
     "iopub.status.busy": "2024-02-18T14:29:01.070592Z",
     "iopub.status.idle": "2024-02-18T14:40:45.318368Z",
     "shell.execute_reply": "2024-02-18T14:40:45.317130Z",
     "shell.execute_reply.started": "2024-02-18T14:29:01.071512Z"
    },
    "papermill": {
     "duration": null,
     "end_time": null,
     "exception": false,
     "start_time": "2024-02-18T14:50:31.309013",
     "status": "running"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# @title launch WebUI 启动WebUI\n",
    "%cd /kaggle/working/GPT-SoVITS/\n",
    "!npm install -g localtunnel\n",
    "import subprocess\n",
    "import threading\n",
    "import time\n",
    "import socket\n",
    "import urllib.request\n",
    "def iframe_thread(port):\n",
    "    while True:\n",
    "        time.sleep(0.5)\n",
    "        sock= socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n",
    "        result = sock.connect_ex(('127.0.0.1', port))\n",
    "        if result == 0:\n",
    "            break\n",
    "        sock.close()\n",
    "\n",
    "        from colorama import Fore, Style\n",
    "    print (Fore.GREEN + \"\\nIP: \", Fore. RED, urllib.request.urlopen('https://ipv4.icanhazip.com').read().decode('utf8').strip(\"\\n\"), \"\\n\", Style. RESET_ALL)\n",
    "    p = subprocess.Popen([\"lt\", \"--port\", \"{}\".format(port)], stdout=subprocess.PIPE)\n",
    "    for line in p.stdout:\n",
    "        print(line.decode(), end='')\n",
    "threading.Thread (target=iframe_thread, daemon=True, args=(9874,)).start()\n",
    "\n",
    "!python  webui.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dda88a6d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-18T14:40:56.880608Z",
     "iopub.status.busy": "2024-02-18T14:40:56.879879Z"
    },
    "papermill": {
     "duration": null,
     "end_time": null,
     "exception": null,
     "start_time": null,
     "status": "pending"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# 开启推理页面\n",
    "%cd /kaggle/working/GPT-SoVITS/\n",
    "!npm install -g localtunnel\n",
    "import subprocess\n",
    "import threading\n",
    "import time\n",
    "import socket\n",
    "import urllib.request\n",
    "def iframe_thread(port):\n",
    "    while True:\n",
    "        time.sleep(0.5)\n",
    "        sock= socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n",
    "        result = sock.connect_ex(('127.0.0.1', port))\n",
    "        if result == 0:\n",
    "            break\n",
    "        sock.close()\n",
    "\n",
    "        from colorama import Fore, Style\n",
    "    print (Fore.GREEN + \"\\nIP: \", Fore. RED, urllib.request.urlopen('https://ipv4.icanhazip.com').read().decode('utf8').strip(\"\\n\"), \"\\n\", Style. RESET_ALL)\n",
    "    p = subprocess.Popen([\"lt\", \"--port\", \"{}\".format(port)], stdout=subprocess.PIPE)\n",
    "    for line in p.stdout:\n",
    "        print(line.decode(), end='')\n",
    "threading.Thread (target=iframe_thread, daemon=True, args=(9872,)).start()\n",
    "\n",
    "!python  ./GPT_SoVITS/inference_webui.py"
   ]
  }
 ],
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     "datasetId": 4459328,
     "sourceId": 7649639,
     "sourceType": "datasetVersion"
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   "dockerImageVersionId": 30646,
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   "isInternetEnabled": true,
   "language": "python",
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   "parameters": {},
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